Abstract:Cerebral small vessel disease is a major contributor to stroke and dementia, characterised by white matter hyperintensities (WMH) on neuroimaging. WMH are associated with reduced cerebral blood flow (CBF) cross-sectionally, though longitudinal associations remain unclear. We updated a 2016 meta-analysis, identifying 30 studies, 27 cross-sectional (n=2956) and 3 longitudinal (n=440), published since 2016. Cross-sectionally, we meta-analysed 10 new studies with 24 previously reported studies, total 34 (n=2180), … Show more
“…12 Current databases. Articles from four recent systematic reviews [13][14][15][16] that met our inclusion criteria (see below) were included. These systematic reviews provided a large publication sample that had already been screened against objective criteria, quality assessed and conducted according to PRISMA standards (Table 1).…”
Section: Methodsmentioning
confidence: 99%
“…To explore the most recent research including participants with SVD, an independent database search was also carried out. The search strategy was modified from a published protocol 16 to identify studies including participants with clinical (stroke or cognitive presentations) or non-clinical presentations of sporadic or monogenic SVD (e.g. CADASIL) ischemi* or ischaemi* or silent or microscopic) adj3 lesion*).ti,ab.).…”
Section: Methodsmentioning
confidence: 99%
“…Quality assessment and publication bias. Quality assessment was carried out as in a previously published study 16 , rated on a scale from 0-8 according to STROBE guidelines. The median and IQR of the quality score of the included studies were calculated.…”
Section: Inclusion and Exclusion Criteria Cross-sectional And Longitmentioning
Background: Cerebral small vessel disease (SVD) is an important cause of acute ischemic stroke and vascular dementia. Several studies recruiting more males than females have reported sex differences regarding SVD incidence and severity, but it is unclear whether this reflects underlying sex-specific mechanisms or recruitment bias. This work aimed to systematically review and meta-analyze potential sex differences in SVD by assessing the male-to-female ratio (M:F) of recruited participants and incidence of SVD, risk factor presence, distribution and severity of SVD features.
Methods: Full text of 228 studies from four databases of recent systematic reviews on SVD and an independent search of MEDLINE were evaluated against inclusion and exclusion criteria (registered protocol: CRD42020193995). Data from participants with clinical or non-clinical presentations of SVD with radiological evidence of SVD were extracted. Sex ratios of total participants or SVD groups were calculated and differences in sex ratios across time, countries, SVD severity and risk factors for SVD were explored.
Results: Amongst 123 relevant studies (n = 36,910 participants) including 53 community-based, 67 hospital-based and 3 mixed studies, more males were recruited in hospital-based than in community-based studies (M:F = 1.16 (0.70) vs M:F = 0.79 (0.35), respectively; p <0.001). More males had moderate to severe SVD (M:F = 1.08 (0.81) vs M:F = 0.82 (0.47) in healthy to mild SVD; p <0.001), especially in stroke presentations where M:F was 1.67 (0.53). M:F of recent research (2015-2020) did not differ from that published pre-2015 and no geographical trends were apparent. There were insufficient sex-stratified data to explore M:F and risk factors for SVD.
Conclusions: Our results highlight differences in male-to-female ratios in SVD that may reflect sex-specific variability in risk factor exposures, study participation, clinical recognition, genuine SVD severity, or clinical presentation and have important clinical and translational implications.
“…12 Current databases. Articles from four recent systematic reviews [13][14][15][16] that met our inclusion criteria (see below) were included. These systematic reviews provided a large publication sample that had already been screened against objective criteria, quality assessed and conducted according to PRISMA standards (Table 1).…”
Section: Methodsmentioning
confidence: 99%
“…To explore the most recent research including participants with SVD, an independent database search was also carried out. The search strategy was modified from a published protocol 16 to identify studies including participants with clinical (stroke or cognitive presentations) or non-clinical presentations of sporadic or monogenic SVD (e.g. CADASIL) ischemi* or ischaemi* or silent or microscopic) adj3 lesion*).ti,ab.).…”
Section: Methodsmentioning
confidence: 99%
“…Quality assessment and publication bias. Quality assessment was carried out as in a previously published study 16 , rated on a scale from 0-8 according to STROBE guidelines. The median and IQR of the quality score of the included studies were calculated.…”
Section: Inclusion and Exclusion Criteria Cross-sectional And Longitmentioning
Background: Cerebral small vessel disease (SVD) is an important cause of acute ischemic stroke and vascular dementia. Several studies recruiting more males than females have reported sex differences regarding SVD incidence and severity, but it is unclear whether this reflects underlying sex-specific mechanisms or recruitment bias. This work aimed to systematically review and meta-analyze potential sex differences in SVD by assessing the male-to-female ratio (M:F) of recruited participants and incidence of SVD, risk factor presence, distribution and severity of SVD features.
Methods: Full text of 228 studies from four databases of recent systematic reviews on SVD and an independent search of MEDLINE were evaluated against inclusion and exclusion criteria (registered protocol: CRD42020193995). Data from participants with clinical or non-clinical presentations of SVD with radiological evidence of SVD were extracted. Sex ratios of total participants or SVD groups were calculated and differences in sex ratios across time, countries, SVD severity and risk factors for SVD were explored.
Results: Amongst 123 relevant studies (n = 36,910 participants) including 53 community-based, 67 hospital-based and 3 mixed studies, more males were recruited in hospital-based than in community-based studies (M:F = 1.16 (0.70) vs M:F = 0.79 (0.35), respectively; p <0.001). More males had moderate to severe SVD (M:F = 1.08 (0.81) vs M:F = 0.82 (0.47) in healthy to mild SVD; p <0.001), especially in stroke presentations where M:F was 1.67 (0.53). M:F of recent research (2015-2020) did not differ from that published pre-2015 and no geographical trends were apparent. There were insufficient sex-stratified data to explore M:F and risk factors for SVD.
Conclusions: Our results highlight differences in male-to-female ratios in SVD that may reflect sex-specific variability in risk factor exposures, study participation, clinical recognition, genuine SVD severity, or clinical presentation and have important clinical and translational implications.
“…However, evidence for low CBF predating SVD lesions in humans is limited. Cross-sectionally, patients with worse WMHs had lower resting CBF, but excluding studies with poorly age-matched controls and patients with dementia removed the association between WMHs and low CBF (63,64). Low CBF predates symptom onset in AD by several years (65) and separately predicts accelerated brain volume loss (66), potentially confounding studies of SVD and CBF.…”
Section: Observations From the Whole Human Perspective Vascular Risk ...mentioning
confidence: 99%
“…Of seven longitudinal studies of WMHs and CBF, the largest studies found that low baseline CBF did not predict worsening WMHs (64) but that worse baseline WMHs predicted falling CBF (67). Unfortunately, many studies did not account for vascular risk factors, exaggerating any apparent difference in CBF between the patients with WMHs and controls.…”
Section: Observations From the Whole Human Perspective Vascular Risk ...mentioning
Cerebral small vessel disease (SVD) is highly prevalent and a common cause of ischemic and hemorrhagic stroke and dementia, yet the pathophysiology is poorly understood. Its clinical expression is highly varied, and prognostic implications are frequently overlooked in clinics; thus, treatment is currently confined to vascular risk factor management. Traditionally, SVD is considered the small vessel equivalent of large artery stroke (occlusion, rupture), but data emerging from human neuroimaging and genetic studies refute this, instead showing microvessel endothelial dysfunction impacting on cell–cell interactions and leading to brain damage. These dysfunctions reflect defects that appear to be inherited and secondary to environmental exposures, including vascular risk factors. Interrogation in preclinical models shows consistent and converging molecular and cellular interactions across the endothelial-glial-neural unit that increasingly explain the human macroscopic observations and identify common patterns of pathology despite different triggers. Importantly, these insights may offer new targets for therapeutic intervention focused on restoring endothelial-glial physiology. Expected final online publication date for the Annual Review of Physiology, Volume 84 is February 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
White matter hyperintensities (WMHs) are emblematic of cerebral small vessel disease, yet effects on the brain have not been well characterized at midlife. Here, we investigated whether WMH volume is associated with brain network alterations in midlife adults. Two hundred and fifty-four participants from the Coronary Artery Risk Development in Young Adults study were selected and stratified by WMH burden into Lo-WMH (mean age = 50 ± 3.5 years) and Hi-WMH (mean age = 51 ± 3.7 years) groups of equal size. We constructed group-level covariance networks based on cerebral blood flow (CBF) and gray matter volume (GMV) maps across 74 gray matter regions. Through consensus clustering, we found that both CBF and GMV covariance networks partitioned into modules that were largely consistent between groups. Next, CBF and GMV covariance network topologies were compared between Lo-and Hi-WMH groups at global (clustering coefficient, characteristic path length, global efficiency) and regional (degree, betweenness centrality, local efficiency) levels. At the global level, there were no between-group differences in either CBF or GMV covariance networks. In contrast, we found between-group differences in the regional degree, betweenness centrality, and local efficiency of several brain regions in both CBF and GMV covariance networks. Overall, CBF and GMV covariance analyses provide evidence that WMH-related network alterations are present at midlife.
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